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data from major facilities, including NASA’s Kepler, TESS, and JWST missions; ESA’s Gaia mission; and large-scale spectroscopic surveys such as LAMOST. Experience working with large, complex datasets is
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scientific writing in the fields of ageing, health, and social sciences. The successful candidate will be expected to support the management and data analysis of a large longitudinal study of older adults
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year of working experience with quantitative data. Adept at working with data, including processing raw data to visualise trends and deciphering patterns and the ability to handle large data sets. Prior
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, Public Health, Climate Science, Data Science, or related disciplines. Demonstrated experience in managing large-scale data sets and conducting health-related research studies. Strong analytical skills with
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devices, smartphones, questionnaires and computer-based behavioral tests to collect large-scale, multi-sensor data streams. The research assistant will join a dynamic and multidisciplinary team conducting
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year (initial contract), extendable to 2–3 years based on performance Duties and Responsibilities The appointee will support the project leader in the following areas: Big Data Analytics & Computational
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. Technical Skills: Proficiency in medical statistics, data science, and applications across various domains. Skills in processing and analyzing large datasets, data wrangling, visualization, big data analysis
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with time-series data. The role involves conducting research on multimodal learning and leading technical development efforts within the project. Qualifications Applicants should meet the following
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a Research Assistant to undertake advanced research at the intersection of resilience and operations research. This position focuses on applying methodologies from decision optimization, big data
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vulnerabilities within the cell division machinery and translate these insights into new therapeutic strategies. We are also deeply interested in the TRIM family of E3 ubiquitin ligases and how they regulate large